Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 30 for “"Resource Description Framework (rdf)"”.
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A framework for computer-based knowledge management systems
This study aims at investigating a framework that utilises the latest advances in KMS technology. This research outlines the framework and describes a system developed around this. The framework is based on fundamental knowledge management concepts, Resource Description Framework (RDF) and basic …
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An Implementation of Resource Advertising and Discovery for Optical Research Networks
… to dynamically provision and manage network resources inspired the development of the User Controlled Lightpath Provisioning System (UCLP). The UCLP version 2 (UCLPv2) is based on a service-oriented architecture in which network resources are abstracted as and managed via Web Services. It …
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LSPARQL: Transaction Time Queries in RDF
The Resource Description Framework (RDF) is a general framework for the standardised interchange of information over the semantic web by way of RDF triples. Specifying temporal information which describes when individual triples hold using standard RDF is convoluted, and temporal query evaluation …
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Parallel SPARQL Query Execution using Apache Spark
Semantic Web technologies such as Resource Description Framework (RDF) and SPARQL are increasingly being adopted by applications on the Web, as well as in domains such as healthcare, finance, and national security and intelligence. While we have witnessed an era of many different techniques for RDF …
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EClerk office assistant
… each document, and structures the data using the Resource Description Framework (RDF) standard. The hardware structure of EClerk consists of a dedicated computer, video camera, scanner, touchscreen, and microphone for capturing input. The software structure consists of the Galaxy speech …
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Building a Knowledge Graph for Food, Energy, and Water Systems
… we employ Semantic Web technologies, namely, the Resource Description Framework (RDF), the Web Ontology Language (OWL), and SPARQL. Starting with raw data (e.g., CSV files), we construct entities and relationships and extend them semantically using a tool called Karma. We enhance this initial …
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Automatic classification and metadata generation for world-wide web resources
… the thesis. Different approaches to information resource discovery and resource description on the Web are reviewed, as are traditional Information Retrieval (IR) techniques relevant to resource discovery on the Web. The design, implementation and evaluation of an automatic classifier, that …
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A New Approach for Fast Processing of SPARQL Queries on RDF Quadruples
The Resource Description Framework (RDF) is a standard model for representing data on the Web. It enables the interchange and machine processing of data by considering its semantics. While RDF was first proposed with the vision of enabling the Semantic Web, it has now become popular in …
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What's in a query : analyzing, predicting, and managing linked data access
… technologies have been established, such as the Resource Description Framework (RDF) as a Linked Data model or the SPARQL Protocol and RDF Query Language (SPARQL) for retrieving this information. Whereas most research has been conducted in the area of generating and publishing Linked Data, this …
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A study of graph partitioning techniques for fast indexing and query processing of a large RDF graph
In recent years, the Resource Description Framework (RDF) [34] has become increasingly important for the Web and in domains such as defense and healthcare. Companies such as the New York Times [40], Best Buy [39], and Pfizer are leveraging RDF and other Semantic Web technologies for data …
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Distributed RDF query processing and reasoning for big data / linked data
… called the "web of data." This is based on Resource Description Framework (RDF) that represents the semantic data and a collection of such statements shapes an RDF graph. SPARQL is a query language designed specifically to query RDF data. Linked Data faces the same challenge that Big Data …
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Collaborative learning utilizing a domain-based shared data repository to enhance learning outcomes
… The intent of this research is to provide a framework to integrate the components of a discipline into a cohesive whole and accelerate the integration of concepts enhancing the learning process. The components utilized to accomplish these goals include two new knowledge integration models; a …
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Managing Uncertainty and Ontologies in Databases
… maintaining web ontology databases written in Resource Description Framework (RDF). I then introduce the probabilistic semistructured PXML data model with two formal semantics. I describe a set of algebraic operations and its efficient implementation. Aggregations of PXML instances are studied …
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Valid Time RDF
… it. However, the original specifications of Resource Description Framework (RDF) and Web Ontology Language (OWL) do not include constructs for handling time-varying data and knowledge. For simplicity, RDF model is confined to binary predicates, hence some form of reification is needed to …
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Improving the Performance of Parallel SPARQL Query Processing on Apache Spark Using Bloom Filters
The Resource Description Framework (RDF) has become the standard model for data representation on the Web. In RDF, IRIs are used to represent entities and their relationships. SPARQL is the query language for RDF. Today, popular knowledge bases on the Web (e.g., Wikidata, YAGO, Linked Data) employ …
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Using low latency storage to improve RDF store performance
Resource Description Framework (RDF) is a flexible, increasingly popular data model that allows for simple representation of arbitrarily structured information. This flexibility allows it to act as an effective underlying data model for the growing Semantic Web. Unfortunately, it remains a …
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A Semantic Web-Based Digital Library Infrastructure to Facilitate Computational Epidemiology
… the choice of hardware, underlying database, and resource description framework (RDF) engine. We provide application programming interfaces (APIs) on top of our linked datasets, which an epidemiologist can use for information retrieval, without knowing much about underlying datasets. The proposed …
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OWL-Miner: Concept Induction in OWL Knowledge Bases
The Resource Description Framework (RDF) and Web Ontology Language (OWL) have been widely used in recent years, and automated methods for the analysis of data and knowledge directly within these formalisms are of current interest. Concept induction is a technique for discovering descriptions of …
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OWL-Miner: Concept Induction in OWL Knowledge Bases
The Resource Description Framework (RDF) and Web Ontology Language (OWL) have been widely used in recent years, and automated methods for the analysis of data and knowledge directly within these formalisms are of current interest. Concept induction is a technique for discovering descriptions of …
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A web-based approach to engineering adaptive collaborative applications
… such as Scalable Vector Graphics (SVG), the Resource Description Framework (RDF), Protocol and RDF Query Language (SPARQL) and Gridkit, a middleware infrastructure, based on the Open Overlays concept. The Middleware layer (the first layer of the four-layer model) addresses network and …
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